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Chengqian Lu
Chengqian Lu
Associate Professor, Xiangtan University
在 xtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Applications of deep learning to MRI images: A survey
J Liu, Y Pan, M Li, Z Chen, L Tang, C Lu, J Wang
Big Data Mining and Analytics 1 (1), 1-18, 2018
2252018
Prediction of lncRNA–disease associations based on inductive matrix completion
C Lu, M Yang, F Luo, FX Wu, M Li, Y Pan, Y Li, J Wang
Bioinformatics 34 (19), 3357-3364, 2018
1962018
SDLDA: lncRNA-disease association prediction based on singular value decomposition and deep learning
M Zeng, C Lu, F Zhang, Y Li, FX Wu, Y Li, M Li
Methods 179, 73-80, 2020
532020
Deep matrix factorization improves prediction of human circRNA-disease associations
C Lu, Min, Zeng, Fuhao Zhang, Fang Xiang Wu, Min Li & Jianxin Wang
IEEE Journal of Biomedical and Health Informatics, 2020
352020
Predicting human lncRNA-disease associations based on geometric matrix completion
C Lu, M Yang, M Li, Y Li, FX Wu, J Wang
IEEE journal of biomedical and health informatics 24 (8), 2420-2429, 2019
282019
DMFLDA: a deep learning framework for predicting lncRNA–disease associations
M Zeng, C Lu, Z Fei, FX Wu, Y Li, J Wang, M Li
IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020
252020
Improving circRNA–disease association prediction by sequence and ontology representations with convolutional and recurrent neural networks
C Lu, M Zeng, FX Wu, M Li, J Wang
Bioinformatics 36 (24), 5656-5664, 2020
232020
DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding
M Zeng, Y Wu, C Lu, F Zhang, FX Wu, M Li
Briefings in Bioinformatics 23 (1), bbab360, 2022
162022
Heterogeneous graph inference with matrix completion for computational drug repositioning
M Yang, L Huang, Y Xu, C Lu, J Wang
Bioinformatics 36 (22-23), 5456-5464, 2020
152020
LncRNA–disease association prediction through combining linear and non-linear features with matrix factorization and deep learning techniques
M Zeng, C Lu, F Zhang, Z Lu, FX Wu, Y Li, M Li
2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2019
72019
Predicting microRNA-environmental factor interactions based on bi-random walk and multi-label learning
W Lan, J Wang, M Li, C Lu, FX Wu, Y Pan
2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2016
42016
Inferring disease-associated circRNAs by multi-source aggregation based on heterogeneous graph neural network
C Lu, L Zhang, M Zeng, W Lan, G Duan, J Wang
Briefings in Bioinformatics 24 (1), bbac549, 2023
2023
GraphLncLoc: long non-coding RNA subcellular localization prediction using graph convolutional networks based on sequence to graph transformation
M Li, B Zhao, R Yin, C Lu, F Guo, M Zeng
Briefings in Bioinformatics 24 (1), bbac565, 2023
2023
CRMSS: predicting circRNA-RBP binding sites based on multi-scale characterizing sequence and structure features
L Zhang*, C Lu*, M Zeng, Y Li, J Wang
Briefings in Bioinformatics, 2022
2022
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